NSF-BSF: CIF: Small: Statistical Learning and Inference via Innovations — NSF Award to Cornell University (NY, $598,448)
This NSF-BSF project develops theoretical and algorithmic foundations for online learning and decision-making involving sequential data under unknown stochastic models. Along with theoretical investigation and algorithmic developments, this project has a significant application component on real-time monitoring and con
| Award title | NSF-BSF: CIF: Small: Statistical Learning and Inference via Innovations |
|---|---|
| Award ID | 2419622 |
| Awardee | Cornell University |
| City | ITHACA |
| State | NY |
| Amount obligated | $598,448 |
| Principal investigator | Qing Zhao |
| Program | Comm & Information Foundations |
| Start date | 12/15/2024 |
| Abstract | This NSF-BSF project develops theoretical and algorithmic foundations for online learning and decision-making involving sequential data under unknown stochastic models. Along with theoretical investigation and algorithmic developments, this project has a significant application component on real-time monitoring and control of critical infrastructure networks. Specific applications include probabilistic forecasting of renewable energy and electricity prices, and detecting emerging behaviors such |
| Source | NSF Awards |
$799/mo
Try NSFGrants →